Journal of Epidemiology and Public Health (JEPH)
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Meta-Analysis the Effects of Obesity and Type 2 Diabetes Mellitus on Covid-19 Mortality
Background: COVID-19 is a disease caused by a new coronavirus called SARS-CoV-2. In more severe cases, COVID-19 can cause death. The most severe COVID-19 patient mortality is associated with underlying health conditions. The most common associated comorbidities are pulmonary disease, diabetes, obesity, and old age. However, the effects of obesity and T2DM disease on the 2019 coronavirus disease (COVID-19) pandemic are controversial. This study aims to analyze the magnitude of the influence of obesity and T2DM on COVID-19 mortality.Subjects and Method: This study uses a systematic review and meta-analysis research design. The time of the selected test results is between January 2020 to January 2021. The search for articles is carried out for 1 month. Research data was searched from databases: PubMed, Google Scholar, JAMA, Willey, and Science Direct. Using search keywords: (Type 2 diabetes mellitus OR diabetic) AND (mortality OR death) AND (COVID-19 /OR Coronavirus OR SARS-CoV-2) AND ("adjusted odds ratio" OR "aOR"), (obesity OR obese) AND (mortality OR death) AND (COVID-19 OR Coronavirus OR SARS-CoV-2) AND ("adjusted odds ratio" OR "aOR"). The inclusion criteria in this study were full-text articles in English, observational study designs were collected using PRISMA, and analyzed using the Review Manager application (RevMan 5.3).Results: A total of 15 articles were reviewed in this study. A meta-analysis of 10 cohort studies showed that people with COVID19 who had comorbid obesity were 1.50 times more likely to die from COVID-19 compared to those without obesity (aOR = 1.50; 95% CI = 1.17 to 1.93; p = 0.001). A meta-analysis of 6 cohort studies showed people with COVID-1919 who had comorbid T2DM 1.93 times to die from COVID-19 compared with those without T2DM (aOR = 1.93; 95% CI = 1.28 to 2.90; p = 0.002).Conclusion: Obesity and T2DM are predictors of COVID19 mortality
Meta-Analysis the Association between Obesity and Periodontitis in Adults
Background: The risk of periodontal disease was 2.9 times higher in the obese group compared to the normal group. Periodontitis is one of the 10 most common chronic diseases affecting the world's population. Obesity contr
Relationship of Work in Pandemic Era with Increased Risk of Musculosceletal Disorders that Lead to Change in Cervical Posture
Background: Musculoskeletal Disorders (MSDs) was a form of complaints that occur in muscles, bones, joints, ligaments and tendons. Globally, musculoskeletal disorders were the single largest cause of work-related health complaints with more than 33% of all new diseases reported. Risk factors that contribute to caused MSDs were social factors. This study aimed to analyze the relationship between social factors related to the risk of MSDs and their effect on changes in cervical posture.Subjects dan Method: This was a cross-sectional study. A sample of 32 were selected for this study with. The sampling technique used was total sampling according to the inclusion and exclusion criteria. This study was conducted online through the google-form application by respondents in Surakarta, Central Java from March 2021 to May 2021. The dependent variable was changes in cervical posture. The independent variable was the respondent's characteristics such as work environment and work posture. The data analysis technique used Chi Square test.Results: The results of the analysis using the Chi Square test showed that there was a relationship between work duration and work risk factors with OR= 9.00; 95%CI= 1.72 to 46.9; p=0.010. Based on these results, it can be interpreted that workers with working duration >7 hours per day are 9 times more likely to have a high risk injury risk factor compared to workers who work <7 hours a day. The results of the analysis with the Chi Square test showed that there was a relationship between risk factors for injury and a high risk work environment with forward head posture with OR= 20.00; 95%CI= 2.11 to 189; p=0.003). Workers with risk factors for injury and a high risk work environment are 20 times more likely to experience forward head posture compared to workers with risk factors for injury and a risky work environment.Conclusion: There is a relationship between duration of work with work risk factors, there is a relationship between environmental factors and risk factors for injury and there is a relationship between risk factors for injury and a high-risk work environment with forward head posture.Keywords: pandemic era, musculosceletal disorders, cervical posture change.Correspondence
COVID-19 Patient Mortality with Convalescent Plasma Therapy: Meta-Analysis
Background: The use of convalescent plasma was recommended as empiric treatment during the Ebolavirus outbreak in 2014, and a protocol for the treatment of Middle East Respiratory Syndrome coronavirus (MERS) with convalescent plasma was created in 2015. These findings raise the hypothesis that the use of convalescent plasma transfusion may be beneficial in SARS-infected patients. -CoV-2. The aim of this study was to estimate the mortality risk of COVID-19 patients with convalescent plasma therapy.Subjects and method: A systematic review and meta-analysis was carried out by collecting articles from the Google Scholar, PubMed, and Science Direct databases. The articles were screened using the PICO model, including: (1) Population= confirmed COVID-19 patients, (2) Intervention= conv
Relationship between Knowledge and the Use of Personal Protective Equipment in Farmers with History of Goiter Disease in Kismantoro Subdistrict Wonogiri
Background: Farmers have a great potential danger to exposure and poisoning of pesticides due to the application of occupational safety and health, which is still low because it does not use personal protective equipment (PPE). This study aimed to examine the relationship of knowledge using PPE in farmers with a history of goiter disease in the Kismantoro Subdistrict, Wonogiri Regency.Subjects dan Method: This was a cross-sectional study. Sampling techniques used purposive sampling with inclusion criteria that are willing to participate in this study, reside and become a farmer in Kismantoro Subdistrict for more than ten years, and have a history of goiter disease work actively as a farmer. The dependent variables were complete PPE and PPE masks in farmers. The independent variable was knowledgeable. Population: All farmers who were declared positively affected by goiter and recorded in the Kismantoro Subdistrict Health Center in 2020. Sample: The samples were 54 respondents. Data collection was done directly from respondents with observation techniques or observation into the field and questionnaire filling. The data were analyzed using chi-square test.Results: There was a relationship between the knowledge of farmers with a history of goiter disease with the use of complete PPE when spraying with p= 0.005 and (OR=0.77; 95%CI= 0.62 to 0.97). And there was a relationship between the knowledge of farmers with a history of goiter disease with the use of masks at the time of spraying with p= 0.002 and (OR= 6.43; 95%CI= 1.93 to 21.39).Conclusion: There is a relationship between knowledge and complete PPE and masks PPE in farmers with a history of goiter disease in Kismantoro Subdistrict, Wonogiri Regency.Keywords: knowledge, the use of PPE complete, the use of PPE mask.Correspondence
Risk of Death in COVID-19 Patients with Comorbidity of Chronic Kidney Disease: Meta Analysis
Background: Coronavirus disease 2019 or known as COVID-19 was a disease caused by severe acute respiratory coronavirus 2 (SARS-CoV-2). There are seven comorbidities that experience the most severity and death when infected with COVID-19, namely hypertension, diabetes mellitus, cardiovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cerebrovascular disease, and cancer. This study aimed to estimate the magnitude of the risk of death in COVID-19 patients with comorbid chronic kidney disease, with a meta-analysis of primary studies conducted by previous authors.Subjects and Method: This study was a systematic review and meta-analysis with the following PICO, population: COVID-19 patients. Intervention: comorbid chronic kidney disease. Comp
A Meta-Analysis of Correlations between Chronic Obstructive Pulmonary Disease, Smoking, and Severity of COVID-19
Background: Corona Virus Disease 2019 (COVID-19) is a respiratory disease that can progress to severe hypoxemia with cases reaching more than 235 million cases worldwide until November 2021. The association with Chronic Obstructive Pulmonary Disease (COPD) and smoking habits are both very common globally and may increase the severity of COVID-19. However, it has not been elucidated. Given the gaps in evidence and the increasing prevalence of COVID-19, this study aimed to examine the influence of COPD and smoking habits on the severity of COVID-19 patients.Subjects and Method: This meta-analysis study was conducted with PICO as follows: Popul
Maternal Nutrition Status and Its Relation with Low Birth Weight: A Meta Analysis Study
Background: The condition of low birth weight (LBW) increases the risk of death in newborns early in life and results in health and development problems later in life. However, research related to factors associated with low birth weight is still limited. This study aimed to determine the risk factors associated with the nutritional status of mothers with low birth weight babies.Subjects and Method: This was a systematic review and meta-analysis by searching for articles published by the online database PubMed in 2016 to 2021. With P: Pregnant women, I: height <150 cm, maternal mid-upper arm circumference (MUAC) <23 cm, did not receive nutrition counseling, C: height > 150 cm, maternal MUAC >23 cm, receiving nutritional counseling, O: LBW. And the inclusion criteria of this study are: 1) articles that explain the influence of maternal nutritional status with LBW; 2) original research papers; 3) the research subjects were pregnant women who gave birth to LBW; 4) research using multivariate logistic regression analysis method. The dependent variable is low birth weight. The independent variable is a risk factor related to the nutritional status of the mother as measured by height, arm circumference, and the provision of nutritional counseling. Data analysis using RevMan software.Results: There are 18 articles on quantitative analysis. Pregnant women who have a height <150 cm (OR= 3.13; 95% CI= 0.75 to 13.10; p= 0.120) and maternal MUAC <23 cm (OR= 3.79; 95% CI= 3.00 to 4.78; p= 0.001) had a greater risk of giving birth to a baby with low birth weight. Likewise, pregnant women who did not receive nutritional counseling had a greater risk of experiencing low birth weight (OR= 2.98; 95% CI = 2.11 to 4.22; p= 0.001).Conclusion: Pregnant women who have a height <150 cm, MUAC <23 cm, and do not receive nutritional counseling have a greater risk of giving birth to babies with low birth weight.Keywords: low birth weight, nutritional status, maternal, neonatal.Correspondence
Epidemiological Investigation in Diphtheria Control in Banda Aceh, Indonesia
Background: Extraordinary events (KLB) dip
Contribution of Smoking to Pulmonary Tuberculosis Incidence in Bandung, Indonesia
Background: Primary data reporting the contribution of smoking to tuberculosis (TB) incidence in Indonesia are scarce. This study aimed to estimate the effect of smoking on TB incidence and the risk of tuberculosis attribu